Title :
A simple string matching method for shape recognition
Author_Institution :
Dept. of Ind. Manage., I-Shou Univ., Kaohsiung, Taiwan
Abstract :
Shape recognition is an important problem in many applications. A simple string matching approach for shape recognition is proposed in this paper. The shapes are coded as their dominant points. The compactness of polygons formed by the centroid and three consecutive dominant points is used as the feature for recognition. The experimental results showed that the proposed method has better recognition rates and more consistent performance than that of using the conventional features. Further, the proposed method doesn´t need to set parameters, so that it is robust in the shape recognition.
Keywords :
feature extraction; shape recognition; string matching; consecutive dominant points; dominant point detection; polygon compactness; recognition rates; shape recognition; string matching method; Approximation algorithms; Approximation methods; Cost function; Pattern recognition; Shape; Syntactics; Testing; Compactness; Dominant point detection; Features; Shape recognition; String matching;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
DOI :
10.1109/WCICA.2012.6359368